MMLU-by-task - Miscellaneous: leaderboard
Metric: Accuracy (%). Source: huggingface.co. 1257 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 2 70B Base | 86.21 |
| 2 | Llama 2 70B Chat | 85.95 |
| 3 | Llama 2 70B Chat (HF) | 82.76 |
| 4 | Mistral-7B-v0.1 | 81.74 |
| 5 | LLaMA-65B | 81.61 |
| 6 | LLaMA-30B | 78.16 |
| 7 | vicuna-33B-v1.3 | 77.39 |
| 8 | MythoMax-L2-13B | 76.88 |
| 9 | vicuna-13B-v1.5 | 74.97 |
| 10 | Llama 2 13B Chat Base | 74.71 |
| 11 | vicuna-13B-v1.3 | 71.9 |
| 12 | mpt-30B Instruct | 69.22 |
| 13 | mpt-30B | 68.71 |
| 14 | vicuna-13B | 68.58 |
| 15 | Llama 2 7B Chat | 67.56 |
Interactive version: theaggregate.ai/benchmark?slug=mmlu-by-task-miscellaneous · How It Works · Data refreshed daily, snapshot 2026-09-05.